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CONCLUSION > CONCLUSION - Pg. 287

Achieving Flexible SLA and Resource Management in Clouds Chung, W. C., & Chang, R. S. (2009). A New Mechanism for Resource Monitoring in Grid Computing. In Proceedings of Future Generation Computer Systems, 25(1), 1­7. doi:10.1016/j. future.2008.04.008 De Chaves, S. A., Uriarte, R. B., & Westphall, C. B. (2011). Toward an Architecture for Monitor- ing Private Clouds. In Washington, DC:IEEE Communications Society. Proceedings of IEEE Communications Magazine, 49(12), 130­137. doi:10.1109/MCOM.2011.6094017 Dobson, G., & Sanchez-Macian, A. (2006). Towards Unified QoS/SLA Ontologies. In Pro- ceedings of the 2006 IEEE Services Computing Workshops (SCW'06) Emeakaroha, V. C., Netto, M. A. S., Calheiros, R. N., Brandic, I., Buyya, R., & De Rose, C. A. F. (2011). Towards Autonomic Detection of SLA Violations in Cloud Infrastructures. In proceedings of Future Generation Computer Systems. Ferretti, S., Ghini, V., Panzieri, F., Pellegrini, M., & Turrini, E. (2010). Qos-Aware Clouds. In Proceedings of 2010 IEEE 3 rd International Con- ference on Cloud Computing (CLOUD) 321 - 328 Krauter, K., Buyya, R., & Maheswaran, M. (2002). A Taxonomy and Survey of Grid Resource Man- agement Systems for Distributed Computing. In proceedings of Software Practice and Experience, 32(2), 135­164. doi:10.1002/spe.432 Litke, A., Konstanteli, K., Andronikou, V., Chatzis, S., & Varvarigou, T. (2008). Managing Service Level Agreement Contracts in OGSA-based Grids. In Proceedings of Future Generation Computer Systems, 24 (4 245 ­ 258 Sotomayor, B., Montero, R. S., Llorente, I. M., & Foster, I. (2009). Virtual Infrastructure Manage- ment in Private and Hybrid Clouds. In Proceed- ings of IEEE Internet Computing, 13(5), 14­22. doi:10.1109/MIC.2009.119 Theilman, W., Yahyapour, R., & Butler, J. (2008). Multi-level SLA Management for Service-Orient- ed Infrastructures. In Proceedings of 1 st European Conference on Towards a Service-Based Internet. Yeo, C. S., & Buyya, R. (2007). Pricing for Utility- driven Resource Management and Allocation in Clusters. In Proceedings of International Journal of High Performance Computer Applications, 21(4), 405­418. doi:10.1177/1094342007083776 KEY TERMS AND DEFINITIONS Cloud Federation: The practice of connect- ing two or more independent Cloud computing environments for the purpose of load-balancing and cost-efficiently provisioning of services. Cloud Resource Monitoring: The act of con- tinually or periodically observing Cloud resources to determine changes and trends in their status. E.g., physical machines, virtual machines, storage. Multi-Tenancy: The ability to provision one single application instance to multiple customers with the flexibility that each customer can have different configurations. On-Demand Resource Provisioning: The flexibility of allocating extra resources automati- cally to a service at any point in time. Self-Management: A process by which sys- tems can manage their operations without human intervention. SLA: Service Level Agreement is a contract signed between a Cloud provider and a Cloud customer, which states the terms of provisioning including non-functional requirements such as throughput, availability, etc; and penalties in case of violations. SLA Management: The act of managing the agreed SLA terms to avoid violations thereby ensuring the performance of the customer service and the profit of the provider. 287